Science Explorer Interactive view Map

Forecasting Techniques and Applications

Forecasting Techniques and Applications is a research topic within Management Science and Operations Research. Science Explorer counts 21k research works in it since 1950. 17.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on advances in time series forecasting methods, including topics such as exponential smoothing, machine learning techniques, expert judgment, inventory management, demand forecasting, neural networks, and forecast combination.

  • Forecasting
  • Time Series
  • Exponential Smoothing
  • Machine Learning
  • Expert Judgment
  • Inventory Management
  • Demand Forecasting
  • Neural Networks
  • Prediction Accuracy
  • Forecast Combination
Research works
21k
fractional, since 1950
In the world top 10%
3.8k
per year above
Top-10% rate
17.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+70%
the tick is no change

Which countries lead Forecasting Techniques and Applications research?

By volume, China and India publish the most (895 and 894 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 895 works
  2. 2 India 894 works
  3. 3 United States 798 works
  4. 4 Indonesia 511 works
  5. 5 United Kingdom 211 works
  6. 6 Türkiye 171 works
  7. 7 Germany 161 works
  8. 8 Brazil 112 works
  9. 9 Canada 105 works
  10. 10 Nigeria 99 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 22.6%India: 22.6%United States: 20.2%Indonesia: 12.9%6 others listed: 21.7%23%largest
China895 · 22.6%India894 · 22.6%United States798 · 20.2%Indonesia511 · 12.9%6 others listed859 · 21.7%

Shares of the rows listed above, not of the whole node.

Which institutions lead Forecasting Techniques and Applications research?

By volume in 2022–2025, Binus University publishes the most Forecasting Techniques and Applications research, followed by Saveetha University and Sepuluh Nopember Institute of Technology.

Who are the leading researchers in Forecasting Techniques and Applications?

The most-cited researchers publishing on Forecasting Techniques and Applications include M. Hashem Pesaran, Clive W. J. Granger and Ronald R. Yager.

  1. 1 M. Hashem Pesaran United States 9.1k citations
  2. 2 Clive W. J. Granger United States 4.5k citations
  3. 3 Ronald R. Yager United States 4.2k citations
  4. 4 Michael D. Geurts United States 4.2k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Forecasting Techniques and Applications research done?

The largest centres of Forecasting Techniques and Applications research in 2022–2025 are Beijing (China), Chennai (India), Shanghai (China) and Jakarta (Indonesia). Among places with at least 20 works in it, it is an unusually large share of all research in Greater Noida and Pune.

Largest cities, 2022–2025

  1. 1 Beijing China 173 works
  2. 2 Chennai India 98 works
  3. 3 Shanghai China 83 works
  4. 4 Jakarta Indonesia 72 works
  5. 5 Surabaya Indonesia 69 works
  6. 6 Pune India 56 works
  7. 7 Bengaluru India 56 works
  8. 8 Nanjing China 51 works
  9. 9 Istanbul Türkiye 50 works
  10. 10 London United Kingdom 49 works

Where it is the local speciality

  1. Greater NoidaIN · 20.7 works5.6×
  2. PuneIN · 56.4 works4.5×
← less than its size predictsmore →

Location quotient: how much more of its research is in Forecasting Techniques and Applications than the world average.

See Forecasting Techniques and Applications on the map

Where is the best place to study Forecasting Techniques and Applications?

Among universities, judged by research, Sepuluh Nopember Institute of Technology, Binus University and North Carolina State University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%50%100%mean 25.2%fractional works in this node (log) →share in the world top 10% →Sepuluh Nopember Institute of Technology: 28, 8.3%Binus University: 33, 9.1%North Carolina State University: 14, 77.8%Symbiosis International University: 18, 19.9%Christ University: 20, 11.9%National Technical University of Athens: 8, 52.0%Saveetha University: 32, 8.0%SRM Institute of Science and Technology: 28, 15.2%Central University of Finance and Economics: 11, 14.8%Chandigarh University: 17, 35.0%North Carolina State…Symbiosis Internatio…Binus UniversitySepuluh Nopember Ins…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Sepuluh Nopember Institute of TechnologyIndonesia 62.38.3%11.0×28 +219.0%
2 Binus UniversityIndonesia 59.99.1%10.1×33 +125.0%
3 North Carolina State UniversityUnited States 53.177.8%4.2×14 -0.8%
4 Symbiosis International UniversityIndia 49.819.9%9.1×18
5 Christ UniversityIndia 48.911.9%9.5×20
6 National Technical University of AthensGreece 48.952.0%5.7×8 +129.8%
7 Saveetha UniversityIndia 45.08.0%5.5×32
8 SRM Institute of Science and TechnologyIndia 44.115.2%5.5×28
9 Central University of Finance and EconomicsChina 44.114.8%16.5×11
10 Chandigarh UniversityIndia 43.835.0%5.1×17

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Forecasting Techniques and Applications research growing?

Output in 2018–2022 was 70% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Forecasting Techniques and Applications.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.